This paper is in the following e-collection/theme issue:

Design and Evaluation of Patient Education Materials (63) Chatbots and Conversational Agents (473) Artificial Intelligence (1214) Consumer & Patient Education and Shared-Decision Making (641) Usability of Apps and User Perceptions of mHealth (902)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47913, first published .
Usability and Overall Perception of a Health Bot for Nutrition-Related Questions for Patients Receiving Bariatric Care: Mixed Methods Study

Usability and Overall Perception of a Health Bot for Nutrition-Related Questions for Patients Receiving Bariatric Care: Mixed Methods Study

Usability and Overall Perception of a Health Bot for Nutrition-Related Questions for Patients Receiving Bariatric Care: Mixed Methods Study

Authors of this article:

Marina Beyeler1, 2 Author Orcid Image ;   Corinne Légeret3 Author Orcid Image ;   Fabian Kiwitz4, 5 Author Orcid Image ;   Klazine van der Horst1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Atwal K. Artificial intelligence in clinical nutrition and dietetics: A brief overview of current evidence. Nutrition in Clinical Practice 2024;39(4):736 View
  2. Sosa-Holwerda A, Park O, Albracht-Schulte K, Niraula S, Thompson L, Oldewage-Theron W. The Role of Artificial Intelligence in Nutrition Research: A Scoping Review. Nutrients 2024;16(13):2066 View